Watch the Webinar
Many data teams worry that automation won’t work on their specific data and technology stack. They’ve learned the hard way that automation doesn’t always stand up to the complexity of different source data models, taxonomies, and tech stack components.
Join this webinar to understand how Data Vault 2.0 is designed to focus on models and logic, not complex code so that it’s rapidly becoming the DWH standard.
We’ll explain how Data Vault has taken the best of the more traditional modeling
approaches, such as Inmon or Kimball, to provide the level of abstraction, quality, and agility that automation requires.
You’ll learn how the Data Vault model and its methodology and architecture leverage
automation. And how we use integration templates based on Data Vault standards to pave the way to fully automated data loading.
This webinar takes you from theory to practice.
Webinar Agenda
1. The pros and cons of different data modeling techniques.
2. The prerequisites for automation.
3. Why Data Vault works best.
4. How to create abstractions in data warehousing.
5. Demo: how it’s applied in VaultSpeed.
Meet the Speakers
Michael Olschimke
Michael has more than 15 years of experience in Information Technology. During the last eight years he has specialized in Business Intelligence topics such as OLAP, Dimensional Modelling, and Data Mining. Challenge him with your questions!
Jonas De Keuster
Jonasis VP Product Marketing at VaultSpeed. He had close to 10 years of experience as a DWH consultant in various industries like banking, insurance, healthcare, and HR services, before joining the company. This background allows him to help understand current customer needs and engage in conversations with members of the data industry